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检索条件"机构=Parallel Processing LaboratoryElectrical and Computer Engineering Department"

共 112 条记录，以下是71-80 订阅

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An enhanced parallel loop self-scheduling scheme for cluster environments

An enhanced parallel loop self-scheduling scheme for cluster...

引用

International Conference on Advanced Information Networking and Applications (AINA)

作者： Chao-Tung Yang Kuan-Wei Cheng Kuan-Ching Li High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung Taiwan

ISBN: (纸本)0769522491

In this paper, a parallel loop self-scheduling scheme for heterogeneous PC cluster systems is proposed. Though the proposed scheme does allow users to choose parameters before the execution initialization phase, there are still weaknesses that motivate us to go further with new improvements in that scheme. For instance, a decision on a fixed and monotonous parameter can easily lead to invalid schedule by using previous input information. Thus, it is proposed in this paper a new scheme, where the scheduling parameter can be adjusted dynamically and fit into most widely available computer systems, in order to provide higher overall performance.

关键词： Processor scheduling Dynamic scheduling Load management Master-slave Concurrent computing Distributed computing Clustering algorithms Runtime computer science Scheduling algorithm

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NC algorithms for finding depth-first-search trees in interval graphs and circular-arc graphs

NC algorithms for finding depth-first-search trees in interv...

引用

IEEE Southeastcon

作者： Y. Liang C. Rhee S.K. Dhall S. Lakshmivarahan School of Electrical Engineering and Computer Science Parallel Processing Institute University of Oklahama Norman OK USA Department of Mathematics Statistics and Computer Science Eastern Kentucky University Richmond KY USA

Finding depth-first-search (DFS) trees of graphs is one of the fundamental problems in graph theory which has many practical applications. However, there exists no NC parallel algorithm for this problem in general graphs. NC parallel algorithms for finding DFS trees for the interval graphs and circular-arcs graphs are presented. These algorithms take O(log n) time using kappa n processors on the EREW model, where kappa is the number of cliques in a graph of n nodes.< >

关键词： Tree graphs parallel algorithms computer science Read-write memory parallel processing Mathematics Statistics Graph theory Application software Spine

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On implementation of an enhanced and integrated parallel programming Web-based toolkit

On implementation of an enhanced and integrated parallel pro...

引用

International Conference on Information Technology: Research and Education (ITRE)

作者： Kuan-Ching Li Chao-Tung Yang Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung Taiwan High Performance Computing Laboratory Department of Computer Science and Infnmation Engineering Tunghai University Taichung Taiwan

ISBN: (纸本)0780389328

The computing power provided by high performance and low cost PC-based clusters and grid computing platforms are attractive and they are equal or superior to supercomputers and mainframes. In parallel, discussions on how to obtain more computing power from these computing platforms become an interesting issue. The development of applications for these high-performance computing platforms is complicated for several reasons: the complexity of applications themselves, which combines aspects of super computing and distributed computing, and by the need to achieve higher performance. This paper describes the design rationale and implementation of a parallel programming Web-based toolkit, to ease the parallel programming learning process, with the use of Web-based interface. The toolkit has widely been used in MPI parallel programming courses (both in graduate and undergraduate levels) and industry trainings.

关键词： parallel programming Concurrent computing Application software Distributed computing Grid computing High performance computing Visualization computer science Supercomputers Industrial training

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Decision tree construction for data mining on grid computing environments

Decision tree construction for data mining on grid computing...

引用

International Conference on Advanced Information Networking and Applications (AINA)

作者： Chao-Tung Yang Shu-Tzu Tsai Kuan-Ching Li High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung Taiwan

ISBN: (纸本)0769522491

In this paper, the authors presented the grid-based decision tree architecture, with the intention of applying it to both parallel and sequential algorithms. Also, it is shown that, based on the scope and model of data mining applied in the grid environment as well as user equivalent perspective, grid roles can be categorized into three types. It was aimed, through these definitions, to help software developers define clear system processes and differentiate the application scope for software applications. To fulfill the architecture, an existing parallel decision tree algorithm was first applied (the SPRINT algorithm) to the grid environment. The performance and differences in many other areas are compared using datasets of different sizes. The experimental results will be used for future reference and further development.

关键词： Decision trees Data mining Grid computing computer architecture Clustering algorithms Concurrent computing Distributed computing computer science Application software Chaos

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The anatomy of a course in cluster and grid computing

The anatomy of a course in cluster and grid computing

引用

International Conference on Information Technology: Research and Education (ITRE)

作者： Chao-Tung Yang Kuan-Ching Li High Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung Taiwan

ISBN: (纸本)0780389328

Cluster and grid computing is a relatively new interdisciplinary field, where computer science, engineering and computational biology are its core supporting disciplines. The rise of cluster and grid computing discipline brings to computer science faculty members new opportunities and challenges, both in education and in research. In this paper, we explore issues in teaching cluster and grid computing, the developing of curricula, and thoughts to foster student to work on research projects in cluster and grid computing.

关键词： Anatomy Grid computing Distributed computing Concurrent computing computer networks Brain modeling Predictive models computer science Education Space technology

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Scheduling in wireless ad hoc networks with successive interference cancellation

Scheduling in wireless ad hoc networks with successive inter...

引用

IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Shaohe Lv Weihua Zhuang Xiaodong Wang Xingming Zhou National Laboratory of Parallel and Distributed Processing National University of Defense Technology Changsha Hunan China Department of Electrical and Computer Engineering University of Waterloo Waterloo ONT Canada

ISBN: (纸本)9781424499199

Successive interference cancellation (SIC) is an effective way of multipacket reception (MPR) to combat interference in wireless networks. To understand the potential MPR advantages, we study link scheduling in an ad hoc network with SIC at the physical layer. The fact that the links detected sequentially by SIC are correlated at the receiver poses key technical challenges. We characterize the link dependence and propose simultaneity graph (SG) to capture the effect of SIC. Then interference number is defined to measure the interference of a link. We show that scheduling over SG is NP-hard and the maximum interference number bounds the performance of maximal greedy schemes. An independent set based greedy scheme is explored to efficiently construct a maximal feasible schedule. Moreover, with careful selection of link ordering, we present a scheduling scheme that improves the bound. The performance is evaluated by both simulations and measurements in testbed. The throughput gain is on average 40% and up to 120% over IEEE 802.11. The complexity of SG is comparable with that of conflict graph, especially when the network size is not large.

关键词： Interference Silicon carbide Receivers Schedules Protocols Wireless networks Scheduling

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Critical performance path analysis, and efficient code generation issues, for the Seamless architecture

Critical performance path analysis, and efficient code gener...

引用

International Symposium on parallel processing

作者： D.L. Bright S.A. Fineberg B.H. Pease M.L. Roderick S. Sundaram T.L. Casavant Parallel Processing Laboratory Department of Electrical and Computer Engineering University of Iowa Iowa IA USA Numerical Aerodynamic Simulation NASA Ames Research Center CA USA

An analytical study of potential pathological performance areas of the Seamless architecture is presented. Seamless is a latency-tolerant, distributed memory, multiprocessor architecture. A key component of the philosophy of Seamless, however, is the use of standard, commodity components for a large part of the system. A discussion of the unavoidable implementation compromises imposed by this decision is presented, followed by a summary of some optimistic performance studies. Then an analytical study that parameterizes the predicts the worst-case impact of using standard components is provided. Finally, it is shown that these bottlenecks are manageable via careful generation of target machine code so that the optimistic performance studies become realistic expectations for a range of program behaviors and granularities.< >

关键词： Performance analysis computer architecture Hardware Reduced instruction set computing Workstations Costs Aerodynamics Computational modeling Analytical models Numerical simulation

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Cooperative Spectrum Sharing in Relay-Trading Mode: A Fairness View

Cooperative Spectrum Sharing in Relay-Trading Mode: A Fairne...

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International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC

作者： Lixia Liu Gang Hu Ming Xu Yuxing Peng National Key Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China Department of Networks Engineering School of Computer National University of Defense Technology Changsha China

In the relay-trading mode of wireless cognitive radio networks the secondary user (SU) can achieve a promised spectrum access opportunity by relaying for the primary user (PU). How to utilize the exchanged resource efficiently and fairly is an interesting and practical problem. In this paper we proposed a cooperative spectrum sharing strategy (RT-CSS) for the relay-trading mode from the fairness view. The cooperative SUs are gathered in a cooperative sharing group (CSG), and contribution metric (CM) is proposed to measure each CSG member's contribution to CSG as well as benefit from CSG. The adjustment of CM can guarantee the fairness and efficiency of spectrum sharing. The numerical simulation shows that RT-CSS can achieve better performance than the sense-uncooperative mode.

关键词： Relays Cognitive radio Measurement Qualifications Wireless sensor networks Radio networks

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parallel implementation of the recurrence method for computing the power-spectral density of thin avalanche photodiodes

Parallel implementation of the recurrence method for computi...

引用

International Conference on parallel processing Workshops (ICPPW)

作者： Y. Pan C.S. Ierotheou M.M. Hayat Department of Computer Science Georgia State University Atlanta GA USA Parallel Processing Research Group University of Greenwich London UK Department of Electrical & Computer Engineering University of New Mexico Albuquerque NM USA

A simulation program has been developed to calculate the power-spectral density of thin avalanche photodiodes, which are used in optical networks. The program extends the time-domain analysis of the dead-space multiplication model to compute the autocorrelation function of the APD impulse response. However, the computation requires a large amount of memory space and is very time consuming. We describe our experiences in parallelizing the code using both MPI and OpenMP. Several array partitioning schemes and scheduling policies are implemented and tested Our results show that the OpenMP code is scalable up to 64 processors on an SGI Origin 2000 machine and has small average errors.

关键词： Concurrent computing Autocorrelation computer networks Optical computing Power engineering computing Avalanche photodiodes parallel processing Equations Time domain analysis Optical receivers

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Toward Optimal Deployment of Communication-Intensive Cloud Applications

Toward Optimal Deployment of Communication-Intensive Cloud A...

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IEEE International Conference on Cloud Computing, CLOUD

作者： Pei Fan Ji Wang Zibin Zheng Michael R. Lyu National Laboratory for Parallel & Distributed Processing National University of Defense Technology Changsha China Department of Computer Science & Engineering Chinese University of Hong Kong Hong Kong China

Strongly promoted by the leading industrial companies, cloud computing becomes increasingly popular in re-cent years. The growth rate of cloud computing surpasses even the most optimistic predictions. A cloud application is a large-scale distributed system that consist a lot of distributed cloud nodes. How to make optimal deployment of cloud applications is a challenging research problem. When deploying a cloud application to the cloud environment, cloud node ranking is one of the most important approaches for selecting optimal cloud nodes for the cloud application. Traditional ranking methods usually rank the cloud nodes based on their QoS values, without considering the communication performance between cloud nodes. However, such kind of node relationship is very important for the communication-intensive cloud applications (e.g., Message Passing Interface (MPI) programs), which have a lot of communications between the selected cloud nodes. In this paper, we propose a novel clustering-based method for selecting optimal cloud nodes for deploying communication-intensive applications to the cloud environment. Our method not only takes into account the cloud node qualities, but also the communication performance between different nodes. We deploy several well-known MPI programs on a real-world cloud and compare our method with other methods. The experimental results show the effectiveness of our cluster-based method.

关键词： Time factors Cloud computing Benchmark testing Quality of service Servers Clustering algorithms Databases

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